Comments (6)
There is this... https://huggingface.co/spaces/teticio/audio-diffusion
from audio-diffusion.
i see THX,
is it also all offline possible without colab ?
from audio-diffusion.
Sure, but you will need a GPU or lots of patience. You can run the app.py file locally.
from audio-diffusion.
i have an RTX ....
in your describtion i dont see wat exactly i should install and which models i should copy in which folder...
and i only want create audio from text-prompts
app.py its starts localhost on a spezific port ?
from audio-diffusion.
It doesn't work with text prompts. Gradio runs on port 7860 by default. It will download the models for you. There is a requirements.txt file so "pip install -r requiirements.txt"
from audio-diffusion.
i see .. may i try ;)
from audio-diffusion.
Related Issues (20)
- Dataset constriants HOT 16
- High fidelity training? HOT 3
- Training own music samples? HOT 1
- Can I input audio file then generate image HOT 2
- Numpy Error HOT 1
- AttributeError: 'AutoencoderKL' object has no attribute 'sample_size' HOT 3
- teticio/audio-diffusion-256 is really good HOT 1
- multi-gpu training HOT 1
- [Little Feedback] Thank you! :) HOT 2
- is it possible to use the train_unet.py script as a regular ldm? HOT 2
- whats the difference between 256 and 512 dataset HOT 1
- Duration of generated audio HOT 4
- WARNING: audio_to_images: No valid audio files were found error! HOT 3
- Questions on conditional generations HOT 6
- Music generation conditioned on text and music HOT 2
- Version number for accelerate package used here is outdated. Might need to add correct version to requirements.txt HOT 1
- Errors running the notebooks in Colab HOT 1
- Question about Conditional Audio Generation Part HOT 2
- Autoregressive models for Audio generation
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from audio-diffusion.